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Top 5 Certification Courses in Machine Learning

One of the most fascinating and quickly developing areas in computer science nowadays is machine learning. There is a huge need for Machine Learning engineers because they can boost the productivity and intelligence of many businesses and applications. There are several courses online that teach Machine Learning and its various aspects. In addition, machine learning certification is also provided after the completion of the course.

Here are the Top 5 Certification Courses in Machine Learning mentioned below:

Machine Learning with Python

Using the well-known programming language Python, this course introduces the fundamentals of Machine Learning. The course examines two key elements:

The first step is understanding the function of machine learning and the contexts in which it can be applied. Second, it offers a broad overview of topics related to machine learning, including supervised vs unsupervised learning, model evaluation, and machine learning algorithms.

Main Features:

  • Learn new skills like SciPy, clustering, classification, and regression.
  • Projects like predicting economic trends, cancer detection, customer churn, recommendation engines, and several others.

Getting Started with AWS Machine Learning

The AWS Machine Learning course covers crucial subjects like Natural Language Processing on AWS, Computer Vision on AWS, and Machine Learning on AWS. Each topic has several modules covering various ML concepts and AWS services.

Main Features:

  • Learning the essential issues that ML can address and resolve
  • Utilising Amazon AI services like Amazon Comprehend, Amazon Rekognition, and Amazon Translate to create intelligent applications
  • Using a Jupyter Notebook instance and Amazon SageMaker with built-in algorithms to create, train, and deploy models.

Supervised Machine Learning: Regression and Classification

The best machine learning methods are taught in this Stanford University course. This comprehensive course introduces students to statistical pattern recognition, data mining, and machine learning.

Main Features:

  • Create machine learning models in Python using the well-known NumPy and scikit-learn libraries.
  • Create and refine supervised machine learning models for binary classification and prediction tasks, such as logistic and linear regression.

Deep Learning A-Z: Hands-On Artificial Neural Networks

This autonomous driving course will teach you how to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. One of the best courses available, this one teaches Deep Learning through practical examples.

Main Features:

  • Learn how Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks work from an intuitive standpoint and practice their usage.

Machine Learning with TensorFlow on Google Cloud Platform Specialization

The Specialization comprises five courses providing an overview of Machine Learning’s importance to lectures about building ML models. First, the introductory lessons explain machine learning and why it is so popular. After that, the classes concentrate on Tensorflow, an open-source machine learning framework. Additionally, there are many practical opportunities to improve ML accuracy by utilising the various features of the Google Cloud Platform.

Main Features:

  • Demonstrates how to build the machine learning models in TensorFlow that scale and scale out the training of those models.
  • Improves the skills by using the Google cloud platform’s hands-on labs.

Conclusion

Hope these blogs help you in deciding on the best course for yourself.

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